%0 Journal Article
%A GAO Hui-Yi
%A LI Lu-Jiu
%A LI Miao
%A ZHENG Gao-Wei
%T Co-evolution theory and its application in fertilization model
%D 2011
%R 10.3724/SP.J.1087.2011.01685
%J Journal of Computer Applications
%P 1685-1688
%V 31
%N 06
%X Due to the limitation of the fixed mathematical structure, it can not fit all the data; as a result, some experimental results may be discarded in constructing fertilization model, which results in a waste of some data. To solve these problems, the algorithm of fertilization construction model based on co-evolution theory was proposed. The algorithm divided the whole construction model problem into two sub-problems: model structure construction and model parameter optimization. In addition, the two sub-problems were abstracted as co-evolution among various groups. The processes of using genetic programming to construct the model structure and genetic algorithm to optimize the model parameters were carried out in collaboration. The results show that the algorithm not only generates the dynamic model automatically based on the historical experimental data but also has higher accuracy.
%U http://www.joca.cn/EN/10.3724/SP.J.1087.2011.01685